Dipartimento di Scienze Agronomiche, Agrochimiche e delle Produzioni Animali, Università degli Studi di Catania, Catania Italy.
Genet Mol Biol. 2010 Oct;33(4):650-6. doi: 10.1590/S1415-47572010005000075. Epub 2010 Dec 1.
Nero Siciliano is an autochthonous pig breed that is reared mainly in semi-extensive systems in northeastern Sicily. Despite its economic importance and well-appreciated meat products, this breed is currently endangered. Consequently, an analysis of intra-breed variability is a fundamental step in preserving this genetic resource and its breeding system. In this work, we used 25 microsatellite markers to examine the genetic composition of 147 unrelated Nero Siciliano pigs. The total number of alleles detected (249, 9.96 per locus) and the expected heterozygosity (0.708) indicated that this breed had a high level of genetic variability. Bayesian cluster analysis showed that the most likely number of groups into which the sample could be partitioned was nine. Based on the proportion of each individuals genome derived from ancestry, pigs with at least 70% of their genome belonging to one cluster were assigned to that cluster. The cluster size ranged from 7 to 17 (n = 108). Genetic variability in this sub-population was slightly lower than in the whole sample, genetic differentiation among clusters was moderate (F(ST) 0.125) and the F(IS) value was 0.011. NeighborNet and correspondence analysis revealed two clusters as the most divergent. Molecular coancestry analysis confirmed the good within-breed variability and highlighted the clusters that retained the highest genetic diversity.
西西里黑鬃猪是一种起源于西西里岛东北部的本地猪种,主要以半粗放的方式饲养。尽管该品种经济重要且肉类产品广受欢迎,但目前仍处于濒危状态。因此,分析品种内的变异性是保护这一遗传资源及其繁育体系的重要步骤。在这项工作中,我们使用了 25 个微卫星标记来研究 147 头无亲缘关系的西西里黑鬃猪的遗传组成。检测到的等位基因总数(249 个,每个位点 9.96 个)和预期杂合度(0.708)表明该品种具有高水平的遗传变异性。贝叶斯聚类分析表明,样本最有可能被分为九个组。根据每个个体基因组中源自祖先的比例,将至少 70%的基因组来自一个集群的猪分配到该集群。集群大小从 7 到 17 不等(n=108)。该亚种群的遗传变异性略低于整个样本,集群之间的遗传分化程度中等(F(ST)为 0.125),F(IS)值为 0.011。NeighborNet 和对应分析显示出两个最具分歧的集群。分子亲缘关系分析证实了该品种内良好的变异性,并突出了保留最高遗传多样性的集群。